The course is designed to teach students how to analyze data using the Statistical Package for the Social Sciences (SPSS). The main idea behind the course is to teach how one can test a theory or a hypothesis using the proper statistical method. Students who want to use statistics in their thesis or find a job as a data/research/quantitative analyst may find this course useful.

The course mainly focuses on multivariate methods of data analysis. By the term multivariate methods we mean those techniques that are used to analyze data with more than one variable. Each lecture is divided in two parts. The first part teaches the theory behind a statistical test. We use fun and real-life examples to make the teaching of the theory as pleasant as possible. The second part takes place in a LAB where students will practice working with survey data using SPSS. Upon completion of the course students will know how to use descriptive statistics to analyze their data and also to conduct different types of statistical analysis e.g. correlations, simple and multiple linear regressions, regressions with dummies, regressions for categorical response variable etc. No prior knowledge in data analysis or SPSS is needed to successfully complete this course.  

Modes of Study: Participation and a final exam divided in two parts. In the first part, students will have to take a multiple choice test. In the second part, students will have to perform an analysis using SPSS.   

Slides, internet sources, class notes.

Course in North American Studies: NAM-VII Methodology